Tim Engelbracht — accepted AI-conference papers

2026

Hoi! - A Multimodal Dataset for Force-Grounded, Cross-View Articulated Manipulation

Tim Engelbracht, René Zurbrügg, Matteo Wohlrapp, Martin Büchner, Abhinav Valada, Marc Pollefeys +2

CVPR 2026

We present a dataset for force-grounded, cross-view articulated manipulation that couples what is seen with what is done and what is felt during real human interaction. The dataset contains 3048 sequences across 381 articulated objects in 38 environments. Each object is operated in four embodiments

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2025

CroCoDL: Cross-device Collaborative Dataset for Localization

Hermann Blum, Alessandro Mercurio, Joshua O'Reilly, Tim Engelbracht, Mihai Dusmanu, Marc Pollefeys +1

CVPR 2025poster

Accurate localization plays a pivotal role in the autonomy of systems operating in unfamiliar environments, particularly when interaction with humans is expected. High-accuracy visual localization systems encompass various components, such as image retrievers, feature extractors, matchers, reconstru…

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